polle 1.5

- added target argument in policy_eval for estimating the subgroup average treatment effect.
- added threshold argument in policy_learn for learning the optimal subgroup.
- added vignette for learning and evaluating the optimal subgroup.

polle 1.4

- vignettes added for policy_data, policy_learn and policy_eval.

polle 1.3

- new policy_learn type: "blip". Similar to "drql", but only a single model is fitted using the doubly robust score for the blip.
- q_sl now uses the folds from policy_learn when it is used a policy model for "blip" and "drql".
- g_xgboost and q_xgboost.

polle 1.2

- action sets can now vary across stages (stage_action_sets)
- g_empir() is a new g-model useful for calculating the empirical (conditional)
probabilities
- conditional() estimates the group specific policy value estimates
- progressr is now implemented for policy_eval()
- sim_single_stage(), sim_two_stage(), and sim_multi_stage() are new functions
for simulating data.

polle 1.0

- Package documentation: https://arxiv.org/abs/2212.02335